The objective of this project was to wrangle WeRateDogs Twitter data to create interesting and reliable analyses and visualization. WeRatesDogs downloaded their Twitter data and provided it to Udacity for us. Beside gathering, assessing, and cleaning, it was required to come up with this analysis and visualization report.¶
Insights about Data (Analysis and Visualizations)¶
While wrangling the datasets, I wondered about the main source of the tweets. I wanted to know about the tweets source distribution. It is noticible that main source of the tweets come from smart devices in this case iPhones. Twitter Mobile App is desire user application and Tweet Web Client is not.¶
After visually inspecting our new dataset twitter_archive_master, I though that there was a positive correlation between favorites and retweet. the picture below show us that there is a positive correlation between favorites and retweets. We can confirm that the favotires tweet usually gets the most retweets.¶
Doggo: Catchall term for members of the canine species.¶
Pupper: Another term for members of the canine species, often used to specifically identify puppies or smaller dogs (sometimes with the adjective “smol”).¶
Let's take a look at the distribution of dog_type¶
The plot above show us the dog_type distribution. We can see that doggo are the most popular dog type followed closelly by pupper and floofer are not.¶
After this small and simple analysis, we can conclude that beloved canines are highly rate on social media. Twitter Mobile application is the main channel for user and Tweet Web Client is not. Doggo is the most popular dog type foloowed pretty closelly by pupper. We can confirm that the favotires tweet usually gets the most retweets.¶¶